Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction

Traffic flow prediction plays an important role in ITS (Intelligent Transportation System). This task is challenging due to the complex spatial and temporal correlations (e.g., the constraints of road network and the law of dynamic change with time). Existing work tried to solve this problem by expl...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2021-06, Vol.22 (6), p.3337-3348
Hauptverfasser:	Lv, Mingqi, Hong, Zhaoxiong, Chen, Ling, Chen, Tieming, Zhu, Tiantian, Ji, Shouling
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical models Artificial neural networks Convolution Correlation graph convolutional network graph fusion Intelligent transportation systems Machine learning Neural networks Predictive models Recurrent neural networks Roads Semantics Traffic flow Traffic flow prediction Traffic models Transportation networks
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!